Optimal location of a biomass power plant in the province of Granada analyzed by  multi-criteria evaluation using appropriate Geographic Information System  according to the Analytic Hierarchy Process

Seara, M.A. Herrera; Dols, F. Aznar; Zamorano, M.; Hernández, Emmanuel

doi:10.24084/repqj08.484

Cited by 10 publications

(3 citation statements)

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“…According to Viana et al [46], GIS data has been utilized to analyze, map, regulate, and classify the optimal biomass power facility location by gathering the radius area of thirteen new forest biomass power facilities in Portugal. Herrea-Seara et al [47] utilized a MCDA, as well as AHP and GIS techniques, to choose the optimal biomass power facility location in Granada province in Spain, and a comparable approach was projected in Valencia province by Prepina et al [48]. The Valencia province case of Spain has also been addressed with different approaches and methodologies to associate GIS methods on mathematical programming in order to optimize the location and size of a biomass power facility [49], as was a similar case in Italy by Freppaz et al [50].…”

Section: Study Discussion Comparisons and Limiationsmentioning

confidence: 99%

Biomass Feedstock and Climate Change in Agroforestry Systems: Participatory Location and Integration Scenario Analysis of Biomass Power Facilities

Jeong¹

2018

Energies

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Producing energy with biomass feedstocks as a renewable energy source can contribute to the mitigation of climate change through direct CO 2 sequestration and higher CO 2-emitting fuel replacement. Here, the correct location of a biomass power facility can be considered as a critical position due to their geographical and spatial characteristic. This research presents a novel approach involving a geographic information system (GIS) location and its integration scenario analysis with the consideration of biomass feedstocks and climate change in agroforestry systems, the agro-silvo-pastoral system (ASPS), of a Spanish case study. A combined participatory operative approach, that is, fuzzy-decision-making trial and evaluation laboratory (F-DEMATEL) with simple additive weighting (SAW) and sensitivity analysis in various disciplines and criteria, is applied by professionals. In particular, an analysis of five biomass power facilities in the area assessed by the methodology found that only one facility (BPF4) is located in the suitable area. Among five integration scenarios (A to E) as the likelihood test by the stakeholders, scenario E (suitability layer) was most supported-that is, it was selected as the most suitability map-while scenario D (general geophysical layer) was least supported, in that the results encapsulated foreseeable problems derived from the effects. Hence, the validation of the methodology proposed can be employed as a decision-making tool to support proper sustainable planning and development of a biomass power facility under the impact of climate change.

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Section: Study Discussion Comparisons and Limiationsmentioning

confidence: 99%

Biomass Feedstock and Climate Change in Agroforestry Systems: Participatory Location and Integration Scenario Analysis of Biomass Power Facilities

Jeong¹

2018

Energies

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“…This and the critical requirements outlined by the regional or national levels, limit the potential location of biomass energy plants. Given that energy plants are inexistent in Tasmania, constraints and restriction factors were established from a prefeasibility study conducted by Dorset [34] and from previous published articles [12,23,[35][36][37][38][39][40][41][42]. Several constraints, both geological and environmental, were considered to select the potential location of biomass plants.…”

Section: Land Availability Analysis Using a Restriction Modelmentioning

confidence: 99%

Optimizing the Location of Biomass Energy Facilities by Integrating Multi-Criteria Analysis (MCA) and Geographical Information Systems (GIS)

Woo

Acuña

Moroni

et al. 2018

Forests

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Internationally forest biomass is considered to be a valuable renewable energy feedstock. However, utilization of forest harvesting residues is challenging because they are highly varied, generally of low quality and usually widely distributed across timber harvesting sites. Factors related to the collection, processing and transport impose constraints on the economic viability of residue utilization operations and impact their supply from dispersed feedstock locations. To optimize decision-making about suitable locations for biomass energy plants intending to use forest residues, it is essential to factor in these supply chain considerations. This study conducted in Tasmania, Australia presents an investigation into the integration of Multi-criteria analysis (MCA) and Geographical Information systems (GIS) to identify optimal locations for prospective biomass power plants. The amount of forest harvesting biomass residues was estimated based on a non-industrial private native resource model in Tasmania (NIPNF). The integration of MCA and a GIS model, including a supply chain cost analysis, allowed the identification and analysis of optimal candidate locations that balanced economic, environmental, and social criteria within the biomass supply. The study results confirm that resource availability, land use and supply chain cost data can be integrated and mapped using GIS to facilitate the determination of different sustainable criteria weightings, and to ultimately generate optimal candidate locations for biomass energy plants. It is anticipated that this paper will make a contribution to current scientific knowledge by presenting innovative approaches for the sustainable utilization of forest harvest residues as a resource for the generation of bioenergy in Tasmania.

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“…Thus, with the combination of Multicriteria Decision Analysis (MCDA), decision-makers can distinguish the present state of matters and some notion of future settings in energy management [12][13][14]. According to Herrea-Seara et al [15], MCDA was used to select the optimal biomass power facility location and the method of Analytic Hierarchy Process (AHP) and GIS as well in Granada province of Spain as a similar approach proposed in Valencia province (Spain) by Prepina et al [16]. In Valencia province, it has been also made with different methodologies to combine GIS techniques and methods [7] on mathematical programming to optimize the location and size of a biomass facility [17].…”

Section: Introductionmentioning

confidence: 99%

A Multicriteria GIS-Based Assessment to Optimize Biomass Facility Sites with Parallel Environment—A Case Study in Spain

Jeong

Ramírez-Gómez

2017

Energies

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Abstract:Optimizing a biomass facility site is a critical concern that is currently receiving an increased attention because of geographically spread biomass feedstock. This research presents a multicriteria GIS assessment with Weighted Linear Combination (WLC) (most suitable areas) and a sensitivity analysis (implementation strategies) applied to various disciplines using suitable criteria to optimize a biomass facility location in the context of renewable energies respecting the environment. The analyses of results with twelve criteria show the most suitable areas (9.25%) and constraints in a case study in Extremadura (Spain), where forest and agriculture are typical for land uses. Thus, the sensitivity analysis demonstrates the insight of the most influential criteria for supporting energy planning decisions. Therefore, this assessment could be used in studies to verify suitable biomass plants sites with corresponding geographical and spatial circumstances and available spatial data necessary in various governmental and industrial sectors.

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Optimal location of a biomass power plant in the province of Granada analyzed by multi-criteria evaluation using appropriate Geographic Information System according to the Analytic Hierarchy Process

Cited by 10 publications

References 0 publications

Biomass Feedstock and Climate Change in Agroforestry Systems: Participatory Location and Integration Scenario Analysis of Biomass Power Facilities

Biomass Feedstock and Climate Change in Agroforestry Systems: Participatory Location and Integration Scenario Analysis of Biomass Power Facilities

Optimizing the Location of Biomass Energy Facilities by Integrating Multi-Criteria Analysis (MCA) and Geographical Information Systems (GIS)

A Multicriteria GIS-Based Assessment to Optimize Biomass Facility Sites with Parallel Environment—A Case Study in Spain

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